Abstract

The swift integration of AI into educational settings is transforming the dissemination, acquisition, and evaluation of information. This article seeks to examine the ways in which fresh pedagogies and AI interact with each other in order to promote lifelong skills, enhance critical thinking, and facilitate personalized learning. This study examines contemporary instructional methods and concludes that AI tools can enhance existing approaches rather than supplant them. These methodologies encompass adaptive learning systems, blended learning, flipped classrooms, and project-based learning. Personalized learning plans, rapid feedback, and evidence-based pedagogical choices are some of the topic that this project will investigate in order to see how AI-driven analytic could be able to assist with these types of issues. The prospective implementation of AI in the classroom raises practical and ethical concerns around data protection, equality, and the importance of human-centered design. This study asserts that educators, lawmakers, and technologists must collaborate to effectively incorporate AI into pedagogy by synthesizing contemporary research, case studies, and theoretical frameworks. The main things that are suggested are changing the curriculum, making sure that institutions have rules that allow new ideas while still upholding ethical standards, and giving teachers more training. The study arrives at its conclusion that AI can greatly improve educational innovation by making learning more targeted, fun, and useful. To prepare pupils for a fast-paced, knowledge-driven society, teachers need to use AI in their lessons along with creative and evidence-based methods.